iPhone 15 Pro
Geekbench AI Score
5049
Single Precision Score
5837
Half Precision Score
4459
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (Q)
|
99% |
2000
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3971
64.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15064
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15874
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14609
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
91% |
2390
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
6961
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
9490
112.8 IPS |
|
|
Face Detection (Q)
|
100% |
6576
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11644
89.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12775
98.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1844
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29230
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34611
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34495
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6680
246.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6580
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5180
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5503
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
954
16.5 IPS |
